
Prashanth S
AI Engineer @ Bank of America
About
11+ years of experience designing and deploying AI/ML, Lead Agentic AI, Generative AI, Video Automation and Advanced Analytics solutions across healthcare, finance, and telecom industries. My expertise spans LLMs, NLP, predictive modeling, and cloud-native ML pipelines using Python, TensorFlow, Keras, PyTorch, and Scikit-Learn.I have built and productionized scalable models and pipelines leveraging Databricks, Snowflake, Azure Synapse, AWS SageMaker, and Google Cloud ML Engine, integrating MLOps, CI/CD, and model drift monitoring. Passionate about applying transformer-based architectures and Generative AI to automate insights and drive strategic business outcomes.Proficient in Big Data technologies like Spark SQL, PySpark, and Hive, with strong command over data governance, AI security, and compliance frameworks. Recognized for innovation, mentorship, and translating complex data insights into clear, actionable business strategies that improve decision-making and operational efficiency.
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United States
Information Technology & Services
Google Analytics, DataStage, Git, Problem Solving, Airflow, Windows, Data Loading, ETL Testing, Unix, Shell Scripting, Linux, OLAP, Online Transaction Processing (OLTP), Jupyter, Presto, hdfs, Pipelines, Microsoft Power BI, AWS Glue, MongoDB
Experience

AI Engineer
● AI/ML deployments in Gov Cloud emphasize security-by-design, including data isolation, encryption, access control, auditing, and governance across the model lifecycle. ● Provided hands-on, keyboard-level support for platform configuration, onboarding, and validation, working closely with client engineering teams to meet defined use cases and acceptance criteria. ● Assisted in deploying and supporting cloud-native AI platforms running on Kubernetes-based infrastructure, ensuring platform stability, scalability, and performance. ● Collaborated with infrastructure and platform engineers to monitor Kubernetes clusters, assess resource utilization, and troubleshoot performance and availability issues impacting AI workloads. ● Supported the setup, configuration, and validation of data feeds into the platform, including metrics, logs, events, and business KPIs required for observability and analytics use cases.

AI Engineer
Dallas, TX
• Collaborated with the marketing team to generate actionable insights from large volumes of data across multiple sources, including web portal usage, email campaign responses, public site interactions, and other customer engagement metrics. • Analyzed and refined predictive models for customer churn by identifying and reducing false positives and false negatives, improving overall model accuracy. • Performed consumer segmentation and behavior characterization to support personalized marketing strategies and customer retention efforts. • Conducted detailed analysis of promoters and detractors using Net Promoter Score (NPS) to assess customer satisfaction and brand loyalty. • Applied advanced analytics techniques such as Clustering and Linear Regression to uncover business insights, track performance, and optimize vendor pricing strategies. • Completed Exploratory data analysis (EDA) in Jupyter and communicated results to Business. • Built models for highly imbalanced data sets using Bias/variance trade-off. • Developed and interpreted information by creating dashboards using Tableau that assisted management with decision making to enhance customer service.

AI Engineer /ML Engineer
Seattle, WA
• Analyzed data quantitatively and qualitatively with different tools like SAS, Tableau, R Programming, Talend, Informatica and Qlik Sense. • Collaborated with the business community and other BI team members on the definition, construction and deployment of reports, dashboards, metrics and analytic components, as well as data migration design and testing. • Scheduled data refresh on Tableau server for weekly and monthly increments based on business change to ensure that the views and dashboards were displaying the changed data accurately and sent those to production after editing. • Experience in trouble shooting and performance tuning of reports and resolving issues within tableau server and reports. • Developed many python applications for extracting data from different sources like PostgreSQL and export to formats desired by client. • Operationalized the extracts generated from the python applications so that the extracts are automatically stored in AWS S3 and emails are sent to the respective clients based on the frequency configured. • Built complex views to transform data for the reporting needs from various external data sources like LYNX, IHS, SFDC • Strong experience in Extraction, Transformation, loading (ETL) data from various sources into Data Warehouses and Data Marts using Informatica Power Center (Designer, Workflow Manager, Workflow Monitor, Metadata Manger) • Extensively worked on Informatica Designer Components such as Source Analyzer, Transformations Developer, Mapplet and Mapping Designer.

Data Analyst
Atlanta Metropolitan Area
• Worked with Business Users to understand user requirements and business Issues. • Involved in the Data modeling to solve issue for Dimension-to-Dimension joins. • Implemented Partitions and Indexes for the performance Tuning. • Handled self service requests in developing reports. • Implemented the Package level, Object level security on the FM package. • Worked on End-to-End Data Warehouse testing. • Worked on performance improvement of the Model and reports. • Tested the data integrity of the model with respect to the Business. • Implemented PL/SQL procedure to develop ETL (Extract Transform Load) process to collect the data required for analysis from the oracle databases. • Create, Update and Delete the master data in the Oracle, Teradata databases. • Working on the data related issues and communicating resolutions with other solution domains.

Data Analyst
Dallas, Texas, United States
• Worked on agile methodology in implementing the project. • Developed Framework model to develop the reports. • Worked in converting and migration of the Tableau and Cognos reports from OLTP system to OLAP system and different versions of Tableau and Cognos. • Worked in Tableau and Cognos to develop the dashboards and model. • Developed the complex reports with the given business Queries. • Interacted with the Business Users and helped in Querying the data as per the requirement. • Involved in the Data modeling to solve issue for Dimension-to-Dimension joins. • Implemented Partitions and Indexes for the performance Tuning. • Handled self service requests in developing reports. • Implemented the Package level, Object level security on the FM package. • Worked on performance improvement of the Model and reports. • Tested the data integrity of the model with respect to the Business.
Prashanth S's Contact Information
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